{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['密云区', 7.0], ['延庆区', 1.0], ['朝阳区', 71.0], ['丰台区', 42.0], ['石景山区', 14.0], ['海淀区', 63.0], ['门头沟区', 2.0], ['房山区', 16.0], ['通州区', 19.0], ['顺义区', 10.0], ['昌平区', 29.0], ['大兴区', 39.0], ['怀柔区', 7.0], ['平谷区', 0.0], ['东城区', 13.0], ['西城区', 53.0]]\n",
      "[['江岸区', 11988.0], ['江汉区', 25790.0], ['硚口区', 21679.0], ['汉阳区', 5898.0], ['武昌区', 19793.0], ['青山区', 9349.0], ['洪山区', 2851.0], ['蔡甸区', 667.0], ['江夏区', 453.0], ['黄陂区', 437.0], ['新洲区', 616.0], ['东西湖区', 1133.0], ['汉南区', 467.0]]\n",
      "[['江岸区', 4300.0], ['江汉区', 7290.0], ['硚口区', 7239.0], ['汉阳区', 3579.0], ['武昌区', 8224.0], ['青山区', 2958.0], ['洪山区', 4999.0], ['蔡甸区', 2588.0], ['江夏区', 1974.0], ['黄陂区', 1661.0], ['新洲区', 1775.0], ['东西湖区', 1018.0], ['汉南区', 1517.0]]\n",
      "8224.0\n"
     ]
    },
    {
     "ename": "NameError",
     "evalue": "name 'main' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-7-25e01db04f71>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m    147\u001b[0m \u001b[0mmake_snapshot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msnapshot\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mBeijingsevirity\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrender\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"地图北京各区疫情严重程度.png\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    148\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0m__name__\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m\"__main__\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 149\u001b[1;33m     \u001b[0mmain\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'main' is not defined"
     ]
    }
   ],
   "source": [
    "# 各个区的累积病例数曲线\n",
    "# 3月1日 北京，武汉各区的饼状\n",
    "#北京 武汉 各区人口密度\n",
    "# 3月1日 北京， 武汉疫情地图\n",
    "#\n",
    "from pyecharts import options as opts\n",
    "from pyecharts.charts import Graph, Page\n",
    "from pyecharts.render import make_snapshot \n",
    "from snapshot_phantomjs import snapshot\n",
    "from pyecharts.charts import Map\n",
    "from pyecharts import options as opts\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "def map_wuhan(data,Cmax,TItle):\n",
    "    c = (\n",
    "        Map()\n",
    "        .add(TItle, data, \"武汉\")\n",
    "        .set_series_opts(label_opts=opts.LabelOpts(is_show=False))\n",
    "        .set_global_opts(\n",
    "            title_opts=opts.TitleOpts(title=\"武汉\"),\n",
    "            visualmap_opts=opts.VisualMapOpts(max_=Cmax),\n",
    "        )\n",
    "    )\n",
    "    return c\n",
    "\n",
    "\n",
    "\n",
    "def map_beijing(data,Cmax,TItle):\n",
    "    c = (\n",
    "        Map()\n",
    "        .add(TItle, data, \"北京\")\n",
    "        .set_series_opts(label_opts=opts.LabelOpts(is_show=False))\n",
    "        .set_global_opts(\n",
    "            title_opts=opts.TitleOpts(title=\"北京\"),\n",
    "            visualmap_opts=opts.VisualMapOpts(max_=Cmax),\n",
    "        )\n",
    "    )\n",
    "    return c \n",
    "\n",
    "Wuhanqu=['江岸区','江汉区','硚口区','汉阳区','武昌区','青山区',\n",
    "         '洪山区','蔡甸区','江夏区','黄陂区','新洲区','东西湖区','汉南区']\n",
    "Beijingqu=['密云区','延庆区','朝阳区','丰台区','石景山区','海淀区','门头沟区', \n",
    "           '房山区','通州区','顺义区','昌平区','大兴区','怀柔区','平谷区','东城区','西城区']\n",
    "Wuhanqu0301cases= np.array([4300.0, 7290.0, 7239.0, 3579.0, 8224.0, 2958.0,4999.0,2588.0,1974,1661,1775,\n",
    "                            1018.0,1517.0])\n",
    "data_Wuhanqu0301cases = []\n",
    "for index in range(len(Wuhanqu)):\n",
    "    city_info = [Wuhanqu[index], Wuhanqu0301cases[index]]\n",
    "    data_Wuhanqu0301cases.append(city_info)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "Beijingqu0301cases=np.array([7.0,1.0,71,42,14,63,2,16,19,10,29,39,7,0,13,53])\n",
    "\n",
    "data_Beijingqu0301cases = []\n",
    "for index in range(len(Beijingqu)):\n",
    "    city_info = [Beijingqu[index], Beijingqu0301cases[index]]\n",
    "    data_Beijingqu0301cases.append(city_info)\n",
    "print(data_Beijingqu0301cases)\n",
    "\n",
    "\n",
    "Wuhan_renkou=np.array([96.24,72.96,86.85,65.27,127.63,52.88,163.75,\n",
    "                       73.50,91.37,98.83,90.21,56.25,13.55])\n",
    "data_Wuhan_renkou = []\n",
    "for index in range(len(Wuhanqu)):\n",
    "    city_info = [Wuhanqu[index], Wuhan_renkou[index]]\n",
    "    data_Wuhan_renkou.append(city_info)\n",
    "    \n",
    "Beijing_renkou=np.array([49.5,34.8,360.5,210.5,59.0,335.8,33.1,118.8,157.8,116.9,210.8,179.6,\n",
    "                        41.4,45.6,82.2,117.9])\n",
    "data_Beijing_renkou = []\n",
    "for index in range(len(Beijingqu)):\n",
    "    city_info = [Beijingqu[index], Beijing_renkou[index]]\n",
    "    data_Beijing_renkou.append(city_info)\n",
    "    \n",
    "Wuhan_renkoumidu=np.array([11988.0,25790,21679,5898,19793,9349,2851,667,453,437,616,1133,467])\n",
    "data_Wuhan_renkoumidu = []\n",
    "for index in range(len(Wuhanqu)):\n",
    "    city_info = [Wuhanqu[index], Wuhan_renkoumidu[index]]\n",
    "    data_Wuhan_renkoumidu.append(city_info)\n",
    "print(data_Wuhan_renkoumidu)\n",
    "\n",
    "Beijing_renkoumidu=np.array([222.0,175,7922,6884,6997,7796,228,597,1741,1146,1569,1733,195,480,19637,23333])\n",
    "#人每平方公里\n",
    "data_Beijing_renkoumidu = []\n",
    "for index in range(len(Beijingqu)):\n",
    "    city_info = [Beijingqu[index], Beijing_renkoumidu[index]]\n",
    "    data_Beijing_renkoumidu.append(city_info)\n",
    "    \n",
    "    \n",
    "Wuhan_severity=Wuhanqu0301cases/Wuhan_renkou\n",
    "\n",
    "data_Wuhan_severity = []\n",
    "for index in range(len(Wuhanqu)):\n",
    "    city_info = [Wuhanqu[index], Wuhan_severity[index]]\n",
    "    data_Wuhan_severity.append(city_info)\n",
    "\n",
    "\n",
    "Beijing_severity=Beijingqu0301cases/Beijing_renkou\n",
    "data_Beijing_severity = []\n",
    "for index in range(len(Beijingqu)):\n",
    "    city_info = [Beijingqu[index], Beijing_severity[index]]\n",
    "    data_Beijing_severity.append(city_info)\n",
    "\n",
    "# cases, renkoumidu, sevirity, \n",
    "print(data_Wuhanqu0301cases)\n",
    "print(max(Wuhanqu0301cases))\n",
    "TItle=\"武汉3月1日各区累计病例\"\n",
    "Wuhan0301cases = map_wuhan(data_Wuhanqu0301cases,max(Wuhanqu0301cases),TItle)\n",
    "Wuhan0301cases.render(path=\"./mapresults/武汉3月1日各区累计病例.png\")\n",
    "make_snapshot(snapshot, Wuhan0301cases.render(), \"地图武汉3月1日各区累计病例.png\") \n",
    "TItle=\"武汉各区人口(万人)\"\n",
    "Wuhanrenkou=map_wuhan(data_Wuhan_renkou,max(Wuhan_renkou),TItle)\n",
    "Wuhanrenkou.render(path=\"./mapresults/武汉各区人口(万人).html\")\n",
    "make_snapshot(snapshot, Wuhanrenkou.render(), \"地图武汉各区人口(万人).png\") \n",
    "TItle=\"武汉各区人口密度(人每平方公里)\"\n",
    "Wuhanrenkoumidu=map_wuhan(data_Wuhan_renkoumidu,max(Wuhan_renkoumidu),TItle)\n",
    "Wuhanrenkoumidu.render(path=\"./mapresults/武汉各区人口密度(人每平方公里).html\")\n",
    "make_snapshot(snapshot, Wuhanrenkoumidu.render(), \"地图武汉各区人口密度(人每平方公里).png\") \n",
    "\n",
    "TItle=\"武汉各区疫情严重程度\"\n",
    "Wuhansevirity=map_wuhan(data_Wuhan_severity,max(Wuhan_severity),TItle)\n",
    "Wuhansevirity.render(path=\"./mapresults/武汉各区疫情严重程度.html\")\n",
    "make_snapshot(snapshot, Wuhansevirity.render(), \"地图武汉各区疫情严重程度.png\") \n",
    "\n",
    "TItle=\"北京3月1日各区累计病例\"\n",
    "Beijing0301cases = map_beijing(data_Beijingqu0301cases,max(Beijingqu0301cases),TItle)\n",
    "Beijing0301cases.render(path=\"./mapresults/北京3月1日各区累计病例.html\")\n",
    "make_snapshot(snapshot, Beijing0301cases.render(), \"地图北京3月1日各区累计病例.png\") \n",
    "TItle=\"北京各区人口(万人)\"\n",
    "Beijingrenkou=map_beijing(data_Beijing_renkou,max(Beijing_renkou),TItle)\n",
    "Beijingrenkou.render(path=\"./mapresults/北京各区人口(万人).html\")\n",
    "make_snapshot(snapshot, Beijingrenkou.render(), \"地图北京各区人口(万人).png\") \n",
    "TItle=\"北京各区人口密度(人每平方公里)\"\n",
    "Beijingrenkoumidu=map_beijing(data_Beijing_renkoumidu,max(Beijing_renkoumidu),TItle)\n",
    "Beijingrenkoumidu.render(path=\"./mapresults/北京各区人口密度(人每平方公里).html\")\n",
    "make_snapshot(snapshot, Beijingrenkoumidu.render(), \"地图北京各区人口密度(人每平方公里).png\")\n",
    "TItle=\"北京各区疫情严重程度\"\n",
    "Beijingsevirity=map_beijing(data_Beijing_severity,max(Beijing_severity),TItle)\n",
    "Beijingsevirity.render(path=\"./mapresults/北京各区疫情严重程度.html\")\n",
    "make_snapshot(snapshot, Beijingsevirity.render(), \"地图北京各区疫情严重程度.png\")\n",
    "if __name__ == \"__main__\":\n",
    "    main()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     Date  密云区  延庆区   朝阳区  丰台区  石景山区  海淀区  门头沟区  房山区  通州区  顺义区  昌平区  大兴区  怀柔区  \\\n",
      "0   43851    0    0   NaN    1     0    2     0    0    1    0    2    2    0   \n",
      "1   43852    0    0   1.0    1     1    2     0    0    1    0    2    2    0   \n",
      "2   43853    0    0   3.0    2     1    3     0    0    2    1    2    2    0   \n",
      "3   43854    0    0   5.0    2     1    6     0    0    2    1    3    2    0   \n",
      "4   43855    0    0   8.0    3     1   10     0    0    4    1    5    2    0   \n",
      "5   43856    0    0  11.0    4     2   16     0    0    6    1    7    3    0   \n",
      "6   43857    0    0  17.0    4     2   17     0    0    7    1    7    5    0   \n",
      "7   43858    0    0  17.0    7     2   21     0    0    7    2    7    7    0   \n",
      "8   43859    0    0  19.0    8     2   23     3    0    7    2    8   10    0   \n",
      "9   43860    0    0  22.0   11     2   26     1    0   12    2   12   16    1   \n",
      "10  43861    0    0  27.0   12     3   35     1    0   13    2   12   19    1   \n",
      "11  43862    0    0  35.0   16     4   41     1    2   13    6   12   21    1   \n",
      "12  43863    0    1  31.0   17     5   42     3    4   13    5   13   28    3   \n",
      "13  43864    0    1  36.0   18     6   45     3    5   13    5   14   29    3   \n",
      "14  43865    0    1  43.0   20     7   45     3   11   13    6   15   29    4   \n",
      "15  43866    0    1  48.0   20    11   47     3   11   13    6   15   32    5   \n",
      "16  43867    0    1  51.0   22    13   47     3   13   14    8   17   34    7   \n",
      "17  43868    4    1  53.0   26    13   49     3   14   15    9   17   34    7   \n",
      "18  43869    5    1  55.0   27    13   52     3   14   16   10   17   35    7   \n",
      "19  43870    6    1  56.0   30    13   54     3   14   16   10   18   36    7   \n",
      "20  43871    6    1  56.0   30    13   57     3   14   17   10   19   36    7   \n",
      "21  43872    7    1  56.0   32    13   56     3   14   17   10   19   37    7   \n",
      "22  43873    7    1  56.0   36    13   56     3   14   17   10   24   38    7   \n",
      "23  43874    7    1  58.0   36    14   58     3   14   17   10   24   39    7   \n",
      "24  43875    7    1  58.0   38    14   59     3   14   17   10   24   39    7   \n",
      "25  43876    7    1  58.0   39    14   60     3   15   18   10   25   39    7   \n",
      "26  43877    7    1  58.0   39    14   60     3   16   18   10   25   39    7   \n",
      "27  43878    7    1  58.0   40    14   60     3   16   18   10   29   39    7   \n",
      "28  43879    7    1  58.0   40    14   61     3   16   18   10   29   39    7   \n",
      "29  43880    7    1  58.0   40    14   61     3   16   19   10   29   39    7   \n",
      "30  43881    7    1  58.0   41    14   61     3   16   19   10   29   39    7   \n",
      "31  43882    7    1  60.0   41    14   62     3   16   19   10   29   39    7   \n",
      "32  43883    7    1  60.0   41    14   62     3   16   19   10   29   39    7   \n",
      "33  43884    7    1  60.0   41    14   62     3   16   19   10   29   39    7   \n",
      "34  43885    7    1  61.0   41    14   62     3   16   19   10   29   39    7   \n",
      "35  43886    7    1  61.0   41    14   62     3   16   19   10   29   39    7   \n",
      "36  43887    7    1  70.0   42    14   62     3   16   19   10   29   39    7   \n",
      "37  43888    7    1  71.0   42    14   62     3   16   19   10   29   39    7   \n",
      "38  43889    7    1  71.0   42    14   62     3   16   19   10   29   39    7   \n",
      "39  43890    7    1  71.0   42    14   62     3   16   19   10   29   39    7   \n",
      "40  43891    7    1  71.0   42    14   63     3   16   19   10   29   39    7   \n",
      "\n",
      "    平谷区  东城区  西城区  Beijing  外来  \n",
      "0     0    0    1       10   1  \n",
      "1     0    0    2       14   2  \n",
      "2     0    0    3       26   7  \n",
      "3     0    0    4       36  10  \n",
      "4     0    1    5       51  11  \n",
      "5     0    1    5       68  12  \n",
      "6     0    2    7       80  11  \n",
      "7     0    2    8       91  11  \n",
      "8     0    2    9      102  11  \n",
      "9     0    3   13      132  11  \n",
      "10    0    3   17      156  11  \n",
      "11    0    3   17      183  11  \n",
      "12    0    2   26      212  19  \n",
      "13    0    2   28      228  20  \n",
      "14    0    6   29      253  21  \n",
      "15    0    7   34      274  21  \n",
      "16    0    7   36      297  24  \n",
      "17    0    8   37      315  25  \n",
      "18    0    9   38      326  24  \n",
      "19    0    9   39      337  25  \n",
      "20    0    9   39      342  25  \n",
      "21    0   12   43      352  25  \n",
      "22    0   12   46      366  26  \n",
      "23    0   12   46      372  26  \n",
      "24    0   12   46      375  26  \n",
      "25    0   12   46      380  26  \n",
      "26    0   12   46      381  26  \n",
      "27    0   12   47      387  26  \n",
      "28    0   12   52      393  26  \n",
      "29    0   12   53      395  26  \n",
      "30    0   12   53      396  26  \n",
      "31    0   12   53      399  26  \n",
      "32    0   12   53      399  26  \n",
      "33    0   12   53      399  26  \n",
      "34    0   13   53      400  25  \n",
      "35    0   13   53      400  25  \n",
      "36    0   13   53      410  25  \n",
      "37    0   13   53      410  25  \n",
      "38    0   13   53      411  25  \n",
      "39    0   13   53      413  27  \n",
      "40    0   13   53      414  25  \n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib as mp\n",
    "import matplotlib.pyplot as plt\n",
    "import  scipy.special as sp  #gammaln函数\n",
    "plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签\n",
    "Beijingcases=pd.read_excel('Beijingcases.xlsx')\n",
    "Wuhancases=pd.read_excel('Wuhancases.xlsx')\n",
    "Beijingcases.to_csv('Beijingcases.csv',index=0)\n",
    "Wuhancases.to_csv('Wuhancases.csv',index=0)\n",
    "print(Beijingcases)\n",
    "Wuhanqu=['江岸区','江汉区','硚口区','汉阳区','武昌区','青山区',\n",
    "         '洪山区','蔡甸区','江夏区','黄陂区','新洲区','东西湖区','汉南区']\n",
    "Beijingqu=['密云区','延庆区','朝阳区','丰台区','石景山区','海淀区','门头沟区', \n",
    "           '房山区','通州区','顺义区','昌平区','大兴区','怀柔区','平谷区','东城区','西城区']\n",
    "\n",
    "sns.set(style=\"ticks\")#设置环境\n",
    "Beijingcases['Date']=['Jan 21','Jan 22','Jan 23','Jan 24','Jan 25','Jan 26','Jan 27',\n",
    "                     'Jan 28','Jan 29','Jan 30','Jan 31','Feb 1','Feb 2','Feb 3','Feb 4',\n",
    "                     'Feb 5','Feb 6','Feb 7','Feb 8','Feb 9','Feb 10','Feb 11','Feb 12','Feb 13',\n",
    "                     'Feb 14','Feb 15','Feb 16','Feb 17','Feb 18','Feb 19','Feb 20','Feb 21',\n",
    "                      'Feb 22','Feb 23',\n",
    "                     'Feb 24','Feb 25','Feb 26','Feb 27','Feb 28','Feb 29','March 1']\n",
    "BeijingquEn=['Date','Miyun','Yanqing','Chaoyang','Fengtai','Shijingshan','Haidian','Mentougou', \n",
    "           'Fangshan','Tongzhou','Shunyi','Changping','Daxing','Huairou','Pinggu',\n",
    "             'Dongcheng','Xicheng','Beijing','Outside']\n",
    "#Beijingcases.columns=BeijingquEn\n",
    "#Beijingcases.columns=Beijingqu\n",
    "BeijingquEn=['Miyun','Yanqing','Chaoyang','Fengtai','Shijingshan','Haidian','Mentougou', \n",
    "           'Fangshan','Tongzhou','Shunyi','Changping','Daxing','Huairou','Pinggu',\n",
    "             'Dongcheng','Xicheng']\n",
    "Wuhancases['Date']=['Feb 22', 'Feb 23', 'Feb 24', 'Feb 25', 'Feb 26', 'Feb 27','Feb 28',\n",
    "                   'Feb 29','March 1']\n",
    "WuhanquEn=['Date','Jiangan','Jianghan','Qiaokou','Hanyang','Wuchang','Qingshan','Hongshan','Caidian',\n",
    "          'Jiangxia','Huangpi','Xinzhou','Dongxihu','Hannan','Wuhan']\n",
    "#Wuhancases.columns=WuhanquEn\n",
    "WuhanquEn=['Jiangan','Jianghan','Qiaokou','Hanyang','Wuchang','Qingshan','Hongshan','Caidian',\n",
    "          'Jiangxia','Huangpi','Xinzhou','Dongxihu','Hannan']\n",
    "plt.figure()\n",
    "for i in Beijingqu:\n",
    "    plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签\n",
    "    plt.plot(Beijingcases['Date'],Beijingcases[i],label=i)\n",
    "plt.xticks(rotation=60)\n",
    "#x_major_locator=MultipleLocator(1)#把x轴的刻度间隔设置为1，并存在变量里\n",
    "#y_major_locator=MultipleLocator(10)#把y轴的刻度间隔设置为10，并存在变量里\n",
    "ax=plt.gca()#ax为两条坐标轴的实例\n",
    "ax.xaxis.set_major_locator(mp.ticker.MultipleLocator(5)) # 解决刻度过密\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc='upper left', borderaxespad=0.)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "plt.title('北京市各区的累计报道病例数')\n",
    "plt.savefig('北京各区累计报道病例数.png',dpi=100, bbox_inches='tight')\n",
    "plt.figure()\n",
    "for i in Wuhanqu:\n",
    "    plt.plot(Wuhancases['Date'],Wuhancases[i],label=i)\n",
    "plt.xticks(rotation=60)\n",
    "#x_major_locator=MultipleLocator(1)#把x轴的刻度间隔设置为1，并存在变量里\n",
    "#y_major_locator=MultipleLocator(10)#把y轴的刻度间隔设置为10，并存在变量里\n",
    "ax=plt.gca()#ax为两条坐标轴的实例\n",
    "ax.xaxis.set_major_locator(mp.ticker.MultipleLocator(1)) # 解决刻度过密\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc='upper left', borderaxespad=0.)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "plt.title('武汉市各区的累计报道病例数')\n",
    "plt.savefig('武汉各区累计报道病例数.png',dpi=100, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C:\\Users\\12475\\AppData\\Roaming\\Python\\Python37\\site-packages\\matplotlib\\mpl-data\\matplotlibrc\n"
     ]
    }
   ],
   "source": [
    "import matplotlib\n",
    "print(matplotlib.matplotlib_fname())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['密云区', 7.0], ['延庆区', 1.0], ['朝阳区', 71.0], ['丰台区', 42.0], ['石景山区', 14.0], ['海淀区', 63.0], ['门头沟区', 2.0], ['房山区', 16.0], ['通州区', 19.0], ['顺义区', 10.0], ['昌平区', 29.0], ['大兴区', 39.0], ['怀柔区', 7.0], ['东城区', 13.0], ['西城区', 53.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib as mp\n",
    "import matplotlib.pyplot as plt\n",
    "import  scipy.special as sp  #gammaln函数\n",
    "plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签\n",
    "\n",
    "Wuhanqu=['江岸区','江汉区','硚口区','汉阳区','武昌区','青山区',\n",
    "         '洪山区','蔡甸区','江夏区','黄陂区','新洲区','东西湖区','汉南区']\n",
    "Beijingqu=['密云区','延庆区','朝阳区','丰台区','石景山区','海淀区','门头沟区', \n",
    "           '房山区','通州区','顺义区','昌平区','大兴区','怀柔区','平谷区','东城区','西城区']\n",
    "Wuhanqu0301cases= np.array([4300.0, 7290.0, 7239.0, 3579.0, 8224.0, 2958.0,4999.0,2588.0,1974,1661,1775,\n",
    "                            1018.0,1517.0])\n",
    "data_Wuhanqu0301cases = []\n",
    "for index in range(len(Wuhanqu)):\n",
    "    city_info = [Wuhanqu[index], Wuhanqu0301cases[index]]\n",
    "    data_Wuhanqu0301cases.append(city_info)\n",
    "\n",
    "\n",
    "\n",
    "explode = (0,0,0,0,0,0,0,0.1,0.1,0.1,0.1,0.1,0.1)\n",
    "plt.figure()\n",
    "plt.pie(Wuhanqu0301cases,explode=explode,labels=Wuhanqu,autopct='%1.1f%%',shadow=False,startangle=150)\n",
    "plt.title(\"武汉各区病例数占比\") \n",
    "plt.savefig('武汉各区病例数占比.png')#,dpi=200, bbox_inches='tight')\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "Beijingqu0301cases=np.array([7.0,1.0,71,42,14,63,2,16,19,10,29,39,7,13,53])\n",
    "Beijingqu=['密云区','延庆区','朝阳区','丰台区','石景山区','海淀区','门头沟区', \n",
    "           '房山区','通州区','顺义区','昌平区','大兴区','怀柔区','东城区','西城区']\n",
    "data_Beijingqu0301cases = []\n",
    "for index in range(len(Beijingqu)):\n",
    "    city_info = [Beijingqu[index], Beijingqu0301cases[index]]\n",
    "    data_Beijingqu0301cases.append(city_info)\n",
    "print(data_Beijingqu0301cases)\n",
    "plt.figure()\n",
    "explode = (0.1,0.1,0,0,0,0,0.1,0,0,0,0,0,0,0,0)\n",
    "plt.pie(Beijingqu0301cases,explode=explode,labels=Beijingqu,autopct='%1.1f%%',shadow=False,startangle=150)\n",
    "plt.title(\"北京各区病例数占比\")\n",
    "plt.savefig('北京各区病例数占比.png')#,dpi=200, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
